Agent skill

Tooluniverse Immunotherapy Response Prediction

Predict patient response to immune checkpoint inhibitors (ICIs) using multi-biomarker integration.

No licenceAuto-check passedResearch & Science

Install Tooluniverse Immunotherapy Response Prediction

skills CLI

$ npx skills add wu-yc/LabClaw --skill tooluniverse-immunotherapy-response-prediction -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install wu-yc/LabClaw tooluniverse-immunotherapy-response-prediction --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/wu-yc/LabClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/med/tooluniverse-immunotherapy-response-prediction .claude/skills/tooluniverse-immunotherapy-response-prediction && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "tooluniverse-immunotherapy-response-prediction" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/med/tooluniverse-immunotherapy-response-prediction into .claude/skills/tooluniverse-immunotherapy-response-prediction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse-immunotherapy-response-prediction", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/wu-yc/LabClaw/tree/main/skills/med/tooluniverse-immunotherapy-response-prediction

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add wu-yc/LabClaw --skill tooluniverse-immunotherapy-response-prediction -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install wu-yc/LabClaw tooluniverse-immunotherapy-response-prediction --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/wu-yc/LabClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/med/tooluniverse-immunotherapy-response-prediction .agents/skills/tooluniverse-immunotherapy-response-prediction && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "tooluniverse-immunotherapy-response-prediction" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/med/tooluniverse-immunotherapy-response-prediction into .agents/skills/tooluniverse-immunotherapy-response-prediction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse-immunotherapy-response-prediction", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add wu-yc/LabClaw --skill tooluniverse-immunotherapy-response-prediction -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install wu-yc/LabClaw tooluniverse-immunotherapy-response-prediction --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/wu-yc/LabClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/med/tooluniverse-immunotherapy-response-prediction .cursor/skills/tooluniverse-immunotherapy-response-prediction && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "tooluniverse-immunotherapy-response-prediction" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/med/tooluniverse-immunotherapy-response-prediction into .cursor/skills/tooluniverse-immunotherapy-response-prediction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse-immunotherapy-response-prediction", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/wu-yc/LabClaw.git --path skills/med/tooluniverse-immunotherapy-response-prediction

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add wu-yc/LabClaw --skill tooluniverse-immunotherapy-response-prediction -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install wu-yc/LabClaw tooluniverse-immunotherapy-response-prediction --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/wu-yc/LabClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/med/tooluniverse-immunotherapy-response-prediction .gemini/skills/tooluniverse-immunotherapy-response-prediction && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "tooluniverse-immunotherapy-response-prediction" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/med/tooluniverse-immunotherapy-response-prediction into .gemini/skills/tooluniverse-immunotherapy-response-prediction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse-immunotherapy-response-prediction", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install wu-yc/LabClaw tooluniverse-immunotherapy-response-prediction

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add wu-yc/LabClaw --skill tooluniverse-immunotherapy-response-prediction -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/wu-yc/LabClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/med/tooluniverse-immunotherapy-response-prediction .github/skills/tooluniverse-immunotherapy-response-prediction && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "tooluniverse-immunotherapy-response-prediction" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/med/tooluniverse-immunotherapy-response-prediction into .github/skills/tooluniverse-immunotherapy-response-prediction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse-immunotherapy-response-prediction", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add wu-yc/LabClaw --skill tooluniverse-immunotherapy-response-prediction -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install wu-yc/LabClaw tooluniverse-immunotherapy-response-prediction --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/wu-yc/LabClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/med/tooluniverse-immunotherapy-response-prediction .opencode/skills/tooluniverse-immunotherapy-response-prediction && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "tooluniverse-immunotherapy-response-prediction" agent skill from https://github.com/wu-yc/LabClaw/tree/main/skills/med/tooluniverse-immunotherapy-response-prediction into .opencode/skills/tooluniverse-immunotherapy-response-prediction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tooluniverse-immunotherapy-response-prediction", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: tooluniverse-immunotherapy-response-prediction
GitHub stars: 1.1k
Used in: 2 other repos
Token cost: ~8.3k tokens
SKILL.md length: 2,312 words
Files: 1
Skills in repo: 68
Repo updated: Mar 19, 2026
First seen: Oct 7, 2026
Licence: None found

At a glance

Predict patient response to immune checkpoint inhibitors (ICIs) using multi-biomarker integration.

Works in 12 steps: Tool Parameter Reference (CRITICAL) → Input Standardization & Cancer Context → TMB Analysis → …
Oncologists ask about immunotherapy eligibility
SKILL.md covers When to Use, Input Parsing, Phase 0: Tool Parameter… and Workflow Overview, plus 5 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Tooluniverse Immunotherapy Response Prediction is an agent skill from wu-yc/LabClaw. Predict patient response to immune checkpoint inhibitors (ICIs) using multi-biomarker integration. Given a cancer type, somatic mutations, and optional biomarkers (TMB, PD-L1, MSI status), performs systematic analysis across 11 phases covering TMB classification, neoantigen burden estimation, MSI/MMR assessment, PD-L1 evaluation, immune microenvironment profiling, mutation-based resistance/sensitivity prediction, clinical evidence retrieval, and multi-biomarker score integration. Generates a quantitative ICI…

Its SKILL.md is about 8.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science. The repository describes itself as: LabClaw – Operating Layer for LabOS (Stanford-Princeton AI Co-Scientists).

When your agent uses it

Oncologists ask about immunotherapy eligibility
Checkpoint inhibitor selection
Biomarker-guided ICI treatment decisions

Example prompts

“/tooluniverse-immunotherapy-response-prediction”

Requirements

Python 3

Workflow steps

12 steps, taken from the step headings in SKILL.md.

Tool Parameter Reference (CRITICAL)
Input Standardization & Cancer Context
TMB Analysis
Neoantigen Analysis
MSI/MMR Status Assessment
PD-L1 Expression Analysis
Immune Microenvironment Profiling
Mutation-Based Predictors
Clinical Evidence & ICI Options
Resistance Risk Assessment
Multi-Biomarker Score Integration
Clinical Recommendations

What it can do on your machine

Read from SKILL.md and the folder at commit df37802. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are python and markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Tooluniverse Immunotherapy Response Prediction loads about 8.3k tokens when it runs. Until then it costs about 211 tokens; SKILL.md has 2,312 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~211
When it runs · the whole SKILL.md, loaded when a task matches: ~8.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 2,312 words (~8,275 tokens).

“Predict patient response to immune checkpoint inhibitors (ICIs) using multi-biomarker integration. Transforms a patient tumor profile (cancer type + mutations + biomarkers) into a quantitative ICI Response Score with drug-specific recommendations, resistance risk assessment, and monitoring plan.”

— opening of SKILL.md by wu-yc

name: tooluniverse-immunotherapy-response-prediction

Outline of SKILL.md

Immunotherapy Response Prediction
When to Use
Input Parsing
Accepted Input Formats
Cancer Type Normalization
Gene Symbol Normalization
Phase 0: Tool Parameter Reference (CRITICAL)
Verified Tool Parameters
Workflow Overview
Phase 1: Input Standardization & Cancer Context
Step 1.1: Resolve Cancer Type
Step 1.2: Parse Mutations
Step 1.3: Resolve Gene IDs
Phase 2: TMB Analysis
Step 2.1: TMB Classification
Step 2.2: TMB FDA Context
Step 2.3: Cancer-Specific TMB Thresholds
Phase 3: Neoantigen Analysis
Step 3.1: Neoantigen Burden Estimation
Step 3.2: Neoantigen Quality Assessment
Step 3.3: IEDB Epitope Data (if relevant)
Neoantigen Score Component
Phase 4: MSI/MMR Status Assessment
Step 4.1: MSI Status Integration
Step 4.2: MMR Gene Mutation Check
Step 4.3: FDA MSI-H Approvals
Phase 5: PD-L1 Expression Analysis
Step 5.1: PD-L1 Level Classification
Step 5.2: Cancer-Specific PD-L1 Thresholds
Step 5.3: PD-L1 Gene Expression (Baseline Reference)

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/med/tooluniverse-immunotherapy-response-prediction of wu-yc/LabClaw.

Open the folder on GitHubat commit df37802

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in wu-yc/LabClaw, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Tooluniverse Immunotherapy Response Prediction next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Tooluniverse Immunotherapy Response Prediction compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Tooluniverse Immunotherapy Response Prediction this skillwu-yc/LabClaw	1.1k	2 repos	~8.3k	Automated safety check: Pass	None	6 mo ago
Hypothesis Generationspacering-net/codeg	3.9k	14 repos	~3.6k	Automated safety check: Notes	MIT	today
GitHub Deep Researchbytedance/deer-flow	84k	4 repos	~1.3k	Automated safety check: Pass	MIT	today
Nature Paper CardYuan1z0825/nature-skills	47k	2 repos	~2.1k	Automated safety check: Pass	Apache-2.0	today
Content Research Writerweapp-tailwindcss/weapp-tailwindcss	1.9k	25 repos	~3.5k	Automated safety check: Pass	MIT	today
Last30daysmvanhorn/last30days-skill	64k	—	~7.9k	Automated safety check: Notes	MIT	yesterday

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Questions about Tooluniverse Immunotherapy Response Prediction

What does Tooluniverse Immunotherapy Response Prediction do?

Predict patient response to immune checkpoint inhibitors (ICIs) using multi-biomarker integration. Tooluniverse Immunotherapy Response Prediction is an agent skill from wu-yc/LabClaw. Predict patient response to immune checkpoint inhibitors (ICIs) using multi-biomarker integration.

When should I use Tooluniverse Immunotherapy Response Prediction?

Tooluniverse Immunotherapy Response Prediction fits situations like: oncologists ask about immunotherapy eligibility; checkpoint inhibitor selection; biomarker-guided ICI treatment decisions.

How do I install Tooluniverse Immunotherapy Response Prediction in Claude Code?

Run `npx skills add wu-yc/LabClaw --skill tooluniverse-immunotherapy-response-prediction -a claude-code`. Or copy the skill folder (skills/med/tooluniverse-immunotherapy-response-prediction in wu-yc/LabClaw) into .claude/skills/tooluniverse-immunotherapy-response-prediction in your project. Claude Code loads it when a task matches its description.

How do I install Tooluniverse Immunotherapy Response Prediction in Codex?

Run `npx skills add wu-yc/LabClaw --skill tooluniverse-immunotherapy-response-prediction -a codex`. Or copy the skill folder (skills/med/tooluniverse-immunotherapy-response-prediction in wu-yc/LabClaw) into .agents/skills/tooluniverse-immunotherapy-response-prediction in your project. Codex loads it when a task matches its description.

Can I use Tooluniverse Immunotherapy Response Prediction in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wu-yc/LabClaw --skill tooluniverse-immunotherapy-response-prediction -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tooluniverse-immunotherapy-response-prediction, .gemini/skills/tooluniverse-immunotherapy-response-prediction, .github/skills/tooluniverse-immunotherapy-response-prediction and .opencode/skills/tooluniverse-immunotherapy-response-prediction in your project.

What does Tooluniverse Immunotherapy Response Prediction need to run?

SKILL.md names no scripts, command-line tools or credentials: Tooluniverse Immunotherapy Response Prediction is instructions for the agent only. Our summary lists: Python 3.

Does Tooluniverse Immunotherapy Response Prediction access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Tooluniverse Immunotherapy Response Prediction safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Tooluniverse Immunotherapy Response Prediction use?

No licence was found for Tooluniverse Immunotherapy Response Prediction or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Tooluniverse Immunotherapy Response Prediction use?

About 8.3k tokens (SKILL.md is roughly 33k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Tooluniverse Immunotherapy Response Prediction?

Skills that share tags, products or a category with Tooluniverse Immunotherapy Response Prediction: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tooluniverse Immunotherapy Response Prediction?

wu-yc (a GitHub user) maintains it in wu-yc/LabClaw, which has 1,055 GitHub stars. The repository holds 68 skills in this directory. The repository was last updated on March 19, 2026.

Source: wu-yc/LabClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Tooluniverse Immunotherapy Response Prediction

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Files

Used in 2 other repositories

Compare with similar skills

Similar skills

More from wu-yc/LabClaw

Related

Questions about Tooluniverse Immunotherapy Response Prediction